从可变性到稳定性:IBD人类肠道微生物组研究中的网络属性的敏感性
Theresa Geese1, Astrid Dempfle1
1Institute of Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Computational and structural biotechnology journal
|June 9, 2025
概括
在炎症性肠病 (IBD) 中,肠道微生物组的网络分析揭示了对丰度变化的敏感性. 这些发现强调了在解释IBD微生物组网络数据时需要谨慎,因为IBD微生物组的变异性.
科学领域:
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
- 胃肠病学 胃肠病学
背景情况:
- 肠道微生物组在炎症性肠病 (IBD) 中发挥着关键作用.
- 网络分析是了解肠道微生物群复杂性的有希望的工具.
- 评估微生物丰富度变化的网络特性影响对于可靠的IBD研究至关重要.
研究的目的:
- 评估肠道微生物群网络特性对IBD微生物丰度变化的敏感性.
- 为了确定网络属性是否准确地反映IBD微生物组,或者是否过度受到变异性的影响.
- 评估实验室和个人内变异对IBD网络分析的影响.
主要方法:
- 使用来自KINDRED和PRISM队列的数据构建了微生物网络,包括IBD患者和健康对照.
- 基因被用作节点,显著的对应关系代表了边缘.
- 与疾病相关的和与疾病无关的属的丰富性有所变化 (±30%),以评估网络属性变化.
主要成果:
- IBD网络属性对丰度变化表现出敏感性,小变化和大变化的效果相似.
- 当地网络属性显示,在消耗了与疾病相关的一般性时,大小依赖的变化高达50%.
- 在IBD病例中,全球网络属性保持相对稳定 (<10%的变化),表明稳定的dysbiosis.
结论:
- 基于网络的微生物组分析需要谨慎,因为丰度变化的重大影响.
- 微生物组数据的变化可能会影响网络分析结果的可重复性.
- 观察到的IBD失生症的稳定性可能对开发微生物组向治疗提出挑战.
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